CVE-2026-55563 (GCVE-0-2026-55563)
Vulnerability from cvelistv5 – Published: 2026-09-21 15:51 – Updated: 2026-09-21 15:51
VLAI
EPSS
VEX
Title
Feast: `pull_request_target` integration tests run untrusted fork code with production cloud secrets; the `ok-to-test` label guard is bypassable via label persistence on `synchronize`
Summary
Feast is the open source feature store for AI and machine learning. Prior to 0.65.0, .github/workflows/pr_integration_tests.yml uses pull_request_target with the synchronize event and preserves ok-to-test, approved, or lgtm labels across newly pushed commits, allowing a fork contributor to obtain approval for a benign revision and then run changed code from refs/pull/${{ github.event.pull_request.number }}/merge through privileged make targets. The job exposes GCP, AWS, and Snowflake credentials to that code, enabling runner code execution, credential disclosure, and possible access to downstream cloud resources. An external label-removal integration could mitigate the condition, but no repository workflow provided that protection. This issue is fixed in version 0.65.0.
Severity
CWE
- CWE-863 - Incorrect Authorization
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/feast-dev/feast/security/advis… | x_refsource_CONFIRM |
| https://github.com/feast-dev/feast/commit/7619222… | x_refsource_MISC |
| https://github.com/feast-dev/feast/releases/tag/v0.65.0 | x_refsource_MISC |
Impacted products
{
"containers": {
"cna": {
"affected": [
{
"product": "feast",
"vendor": "feast-dev",
"versions": [
{
"status": "affected",
"version": "\u003c 0.65.0"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "Feast is the open source feature store for AI and machine learning. Prior to 0.65.0, .github/workflows/pr_integration_tests.yml uses pull_request_target with the synchronize event and preserves ok-to-test, approved, or lgtm labels across newly pushed commits, allowing a fork contributor to obtain approval for a benign revision and then run changed code from refs/pull/${{ github.event.pull_request.number }}/merge through privileged make targets. The job exposes GCP, AWS, and Snowflake credentials to that code, enabling runner code execution, credential disclosure, and possible access to downstream cloud resources. An external label-removal integration could mitigate the condition, but no repository workflow provided that protection. This issue is fixed in version 0.65.0."
}
],
"metrics": [
{
"cvssV4_0": {
"attackComplexity": "LOW",
"attackRequirements": "PRESENT",
"attackVector": "NETWORK",
"baseScore": 8.9,
"baseSeverity": "HIGH",
"privilegesRequired": "LOW",
"subAvailabilityImpact": "HIGH",
"subConfidentialityImpact": "HIGH",
"subIntegrityImpact": "HIGH",
"userInteraction": "PASSIVE",
"vectorString": "CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:P/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H",
"version": "4.0",
"vulnAvailabilityImpact": "HIGH",
"vulnConfidentialityImpact": "HIGH",
"vulnIntegrityImpact": "HIGH"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-863",
"description": "CWE-863: Incorrect Authorization",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-09-21T15:51:06.794Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/feast-dev/feast/security/advisories/GHSA-2j2x-r73g-hrr5",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/feast-dev/feast/security/advisories/GHSA-2j2x-r73g-hrr5"
},
{
"name": "https://github.com/feast-dev/feast/commit/76192229eca01661109ed56e0dd0cf8f732975f6",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/feast-dev/feast/commit/76192229eca01661109ed56e0dd0cf8f732975f6"
},
{
"name": "https://github.com/feast-dev/feast/releases/tag/v0.65.0",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/feast-dev/feast/releases/tag/v0.65.0"
}
],
"source": {
"advisory": "GHSA-2j2x-r73g-hrr5",
"discovery": "UNKNOWN"
},
"title": "Feast: `pull_request_target` integration tests run untrusted fork code with production cloud secrets; the `ok-to-test` label guard is bypassable via label persistence on `synchronize`"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-55563",
"datePublished": "2026-09-21T15:51:06.794Z",
"dateReserved": "2026-06-16T23:11:20.214Z",
"dateUpdated": "2026-09-21T15:51:06.794Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"nvd": {
"cve": {
"affected": [
{
"affectedData": [
{
"product": "feast",
"vendor": "feast-dev",
"versions": [
{
"status": "affected",
"version": "\u003c 0.65.0"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Feast is the open source feature store for AI and machine learning. Prior to 0.65.0, .github/workflows/pr_integration_tests.yml uses pull_request_target with the synchronize event and preserves ok-to-test, approved, or lgtm labels across newly pushed commits, allowing a fork contributor to obtain approval for a benign revision and then run changed code from refs/pull/${{ github.event.pull_request.number }}/merge through privileged make targets. The job exposes GCP, AWS, and Snowflake credentials to that code, enabling runner code execution, credential disclosure, and possible access to downstream cloud resources. An external label-removal integration could mitigate the condition, but no repository workflow provided that protection. This issue is fixed in version 0.65.0."
}
],
"id": "CVE-2026-55563",
"lastModified": "2026-09-21T16:17:09.390",
"metrics": {
"cvssMetricV40": [
{
"cvssData": {
"Automatable": "NOT_DEFINED",
"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"attackComplexity": "LOW",
"attackRequirements": "PRESENT",
"attackVector": "NETWORK",
"availabilityRequirement": "NOT_DEFINED",
"baseScore": 8.9,
"baseSeverity": "HIGH",
"confidentialityRequirement": "NOT_DEFINED",
"exploitMaturity": "NOT_DEFINED",
"integrityRequirement": "NOT_DEFINED",
"modifiedAttackComplexity": "NOT_DEFINED",
"modifiedAttackRequirements": "NOT_DEFINED",
"modifiedAttackVector": "NOT_DEFINED",
"modifiedPrivilegesRequired": "NOT_DEFINED",
"modifiedSubAvailabilityImpact": "NOT_DEFINED",
"modifiedSubConfidentialityImpact": "NOT_DEFINED",
"modifiedSubIntegrityImpact": "NOT_DEFINED",
"modifiedUserInteraction": "NOT_DEFINED",
"modifiedVulnAvailabilityImpact": "NOT_DEFINED",
"modifiedVulnConfidentialityImpact": "NOT_DEFINED",
"modifiedVulnIntegrityImpact": "NOT_DEFINED",
"privilegesRequired": "LOW",
"providerUrgency": "NOT_DEFINED",
"subAvailabilityImpact": "HIGH",
"subConfidentialityImpact": "HIGH",
"subIntegrityImpact": "HIGH",
"userInteraction": "PASSIVE",
"valueDensity": "NOT_DEFINED",
"vectorString": "CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:P/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
"version": "4.0",
"vulnAvailabilityImpact": "HIGH",
"vulnConfidentialityImpact": "HIGH",
"vulnIntegrityImpact": "HIGH",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
},
"published": "2026-09-21T16:17:09.390",
"references": [
{
"source": "security-advisories@github.com",
"url": "https://github.com/feast-dev/feast/commit/76192229eca01661109ed56e0dd0cf8f732975f6"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/feast-dev/feast/releases/tag/v0.65.0"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/feast-dev/feast/security/advisories/GHSA-2j2x-r73g-hrr5"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Received",
"weaknesses": [
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"value": "CWE-863"
}
],
"source": "security-advisories@github.com",
"type": "Primary"
}
]
}
}
}
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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